Course Plan Quantitative Methods

COURSE PLAN

Year :2009-2010

Sem: Odd

Quantitative Methods

Name of Faculty : Lokesh Payasi

Programme : MBA (Batch 09-11) Third Semester

______________________________________________________________________________

Gyan Ganga Institute of Technology & ManagementKhajuri Khurd, Raisen Road,

Course Description and Overall Goal

We know that a sound knowledge of statistical techniques is necessary for the study of modern business and economics; this

course will provide a basic introduction to statistical methods for policy analysts. The course will provide an introductory foundation

in statistical inference, enabling the student to become a competent producer of basic statistical research. In addition the skills

acquired will enable the student to become a somewhat more sophisticated consumer of more advanced research methodologies.

The emphasis is on practical applications and real-world problem solving. Areas covered include: descriptive statistics, probability,

inferential statistics, regression and correlation, and the use of a statistical software package.

Learning Objectives

The objective of the course is to make the students familiar with some basic statistical and linear programming techniques. The

main focus, however, is in their applications in business decision-making.

On successful completion of this course students will be able to:

To understand the benefits of Quantitative Methods. to understand what the data is telling us

To take decision based on central tendencies .To understand the distribution of data with pictures and equations..To understand the Probability Experiments and able to take decision logically and rationally with the help of probability.

To use statistical software, such as Microsoft® Excel, to solve business and economic problems

Know various statistical topics, such as frequency distribution, elementary probability theory including discrete and

continuous probability distributions, estimation, hypothesis testing, and regression analysis.

To understand the concept of using a sample statistic to estimate a population parameter. Criteria for choosing a

good method.

This course provides students with the insight into the services, pricing, techniques, goals and objectives, management

styles, internal problems and risks of financial institutions, and the markets in which they operate. The course

accomplishes this insight by (i) profiling the financial, operating, and organizational characteristics of each type of

financial institution, and (ii) examining the services offered by these firms to the public.

Learning Methodology

The class will consist of a combination of case discussions, class discussions, student’s presentations and lectures. Student’s

preparation of assigned material and involvement in class discussion is essential for the success of the course and class

participation will count towards the final grade. Generally a student centered learning methodology will be used. The specific

activities will involve:

Class discussion on the theoretical aspects of the subject and related the concept in real life situations

Solving numerical questions

Daily quiz on the topic covered in the last session.

Method of Evaluation

Item of Evaluation Group / Individual Evaluation Marks

Class Participation/ case study Individual 5

Assignments (1) Individual 5

Surprise Tests / quiz Individual 10

Attendance 1 negative marks for each session missed

Text Books

1. Fundamentals of Statistics by S.C.Gupta 6th Revised & Enlarged Edition, Himalaya Publications house referred as

SCG

2. Business Statistics by R.S.Bhardwaj 2nd Edition, Excel Books referred as RSB

3. Quantitative Techniques by C.R.Kothari, 3rd Revised Edition, Vikas Publication referred as CRK

4. Statistical Tools for Managers Using MS Excel by D. P. Apte, Excel Books referred as DPA

Class Participation

Students are expected to attend all classes regularly. A student’s absence does not relieve him or her of meeting all course

requirements. We are engaged in a learning community, one where we strive for an open exchange of ideas. Each of us has

responsibility in the exchange. Individual contributions will be assessed by the instructor and appropriate score will be taken

towards internal assessment.

Student’s Preparation

Students are required to prepare well before attending the classes. You should read the cases mentioned in the course outline

and / or cases announced before the session. You should read at least one of the text books mentioned in the prior readings

section of the course outline.

Total Time Duration

The course is scheduled for 38 sessions of 50 minutes each.

COURSE OUTLINE

Session 1 Topic: Introduction Implemented

Objective Is to understand the statistical analysis and Business statistics and also its uses in industry

Prior Reading RSB Ch.1 Pg. 1-22

Learning Methodology Discussion, quiz and classroom teaching and game presentation

Additional Practice SCG Pg.1.1-1.15, CRK Ch.1, DPA Pg.1-6

Session 2,3 Topic: Frequency distribution and graphic representation of frequency distribution

Implemented

Objective TO understand the type of frequency distribution and how to represent data in diagram form, like PIE chart, HISTOGRAM and other

Prior Reading RSB Ch.5,7 Pg.49-60 & 71-84,89-97


Additional Practice SCG Pg.3.6-3.42 and 4.1-4.65 CRK Ch.2 DPA Pg.13-19

Session 4,5 Topic: Measures of Central Tendency – Mean Implemented

Objective To make them understand the concept and types of Mean. Long

cut method, Short Cut Method.


Learning Methodology Discussion, quiz and classroom teaching and Problem Solving on

different types of Mean

Additional Practice SCG Pg.5.1-5.19 CRK Ch.2, DPA Pg.61-63

Session 6 Topic: Median Implemented

Objective To make them understand the concept and types of Median. Long

cut method, Short Cut Method and its uses in real situation



different types

Additional Practice SCG Pg.5.19-5.34 DPA Pg.73-79

Session 7 Topic: Mode Implemented

Objective To Develop the understanding of Mode. And its method for solving

the different problem



different types


Session 8 Topic: Measures of Central techniques Implemented

Objective To understand the concept of Central Techniques its Merits and

Demerits


Learning Methodology Discussion, quiz and classroom teaching

Additional Practice SCG Pg.5.47-5.77 DPA Pg.83

Session 9 Topic: Domestic of Mean, Median Mode and their managerial

application.

Implemented

Objective To study the measuring and managing various risks and exposure

Prior Reading RSB Ch.9 Pg. 171-179 5

Learning Methodology Discussion and Assignment Given for the technique in M.S. Excel


Session 10 Topic: Presentation Implemented

Objective 6 Group will give presentation on the uses of statistical technique

in India.

Prior Reading


Additional Practice

Session 11 Topic: Measures of dispersion range Implemented

Objective To understand the uses of dispersion and the variation of the

items or series, to compare two or more sets of data regarding

their variability.

Prior Reading RSB Ch.10 Pg.193-196

Learning Methodology Discussion, quiz and classroom teaching

Additional Practice SCG Pg 6.1-6.4 DPA Pg.94

Session 12,13 Topic: Quartile Deviation, Standard Deviation, Mean Deviation. Implemented

Objective To understand the uses of Q.D. S.D. M.D. and its uses

Prior Reading RSB Ch. 10Pg.200-226


Q.D. S.D. M.D


Session 14 Topic: coefficient of variation Implemented

Objective To understand the relative measure of dispersion in the form of

percentage variation.

Prior Reading RSB Ch.11 Pg.241

Learning Methodology Quiz and classroom problem solving

Additional Practice SCG Pg.6.49

Session 15,16 Topic: skew ness, kurtosis Implemented

Objective To study the shape (symmetry and asymmetry) of the data and also

flatness or peakedness of the curve.

Prior Reading RSB Ch.11 Pg.248,256

Learning Methodology Oral Quiz and classroom problem solving

Additional Practice SCG Pg.7.1-7.15 and 7.37 DPA Pg.102-103

Session 17 Topic: Test Implemented

Objective Class will be given a couple of question and they have to solve in

30 min.

Prior Reading Whole unit 1 and unit 2


Additional Practice

Session 18,19 Topic: Mathematical probability, Trail and event, sample space Implemented

Objective To understand the concept of probability and its theory and also some related topic like Permutation and combination, sets and others.




Session 20 Topic: Additional and multiplication theorem in Probability Implemented

Objective To understand different probability theorems and its uses and also

some problem solving technique.




Session 21,22 Topic: Simple problem based on sample space, and Addition and

Multiplication theorem

Implemented

Objective To understand the concept of real world problem related to

statistics.



Additional Practice SCG Pg.12.41, DPA Pg.129-149

Session 23 Topic: Distribution: Binomial and their application in business

decision making

Implemented

Objective To understand the probability distribution and also Binomial

distribution and its uses and technique to solve problems.




Session 24 Topic: Distribution: Poisson and their application in business

decision making

Implemented

Objective To understand the probability distribution in the context of Poisson





Session 25 Topic: Distribution : Normal and their application in business

decision making

Implemented

Objective To understand the probability distribution in the context of Normal



Learning Methodology Classroom teaching and numerical solving



Objective Class will be given a Real problem of a company for distribution on

session 25th and they have to give PPT presentation in session 26th

Prior Reading


Additional Practice

Session 27,28 Topic: introduction Correlation and regression analysis Implemented

Objective To understand the meaning, advantages, limitations and uses of

Correlation and Regression.

Prior Reading RSB Ch.12, 13 Pg.

Learning Methodology Class room teaching and solving numerical Problems

Additional Practice SCG Pg..8.1-8.5, CRK Ch.8, DPA Pg.471-475 & 529-531

Session 29 Topic: Karl Pearson’s coefficient of correlation Implemented

Objective To understand the concept of correlation and covariation between

two or more variables. To understand how to establish

mathematical relationship.

Prior Reading RSB Ch.12 Pg.268 CRK Ch.8

Learning Methodology Class room teaching and solving numerical Problems

Additional Practice SCG Pg. 8.6-8.22

Session 30 Topic: Rank Correlation, spears man’s rank correlation Implemented

Objective To understand the concept of correlation and covariation between two or more variables by the help of Spearman’s Rank Correlation. To understand how to establish mathematical relationship when actual Ranks are given.

Prior Reading RSB Ch.12 Pg. 282

Learning Methodology Oral quiz and classroom problem solving

Additional Practice SCG Pg.8.38-8.45 CRK Ch.8,9

Session 31 Topic: Repeated Ranks, Implemented

Objective To understand the concept of correlation and covariation between two or more variables by the help of Spearman’s Rank Correlation when rank are repeating.



Additional Practice SCG Pg.8.46 CRK Ch.8,9

Session 32 Topic: regression equation Implemented

Objective To understand how regression equation works for linear relationship of data.



Additional Practice SCG Pg.9.1-9.7 CRK Ch.8 DPA Pg.530-554

Session 33 Topic: Regression coefficient Implemented

Objective To understand the concept Regression coefficient and its uses for the practical purpose.


Learning Methodology Oral quiz and classroom problem solving,

Additional Practice SCG Pg.9.8-9.40 CRK Ch.8,9

Session 30,31 Topic: Time Series analysis and forecasting Implemented

Objective To understand the concepts, Meaning of Time series and forecasting, how these two help for taking the managerial decision.


Learning Methodology Classroom discussion and Class will be divided in 8 groups and a

problem will be given to them they have to solve a problem and

give a decision about the question.

Additional Practice SCG Pg.11.1-11.51 DPA Pg.495


Objective Class will be given a Real problem of a company for distribution on

session 25th and they have to give PPT presentation in session 26th

Prior Reading


Additional Practice

Session 32 Topic: Introduction of Sampling Implemented

Objective To understand the Concepts of Sampling, And also about Purposive sampling, Random Sampling, simple sampling, Stratified sampling



Additional Practice CRK Ch.5 DPA Pg.213-224, SCG Pg.15.1-15.29

Session 33 Topic: Sample Tests Implemented

Objective To understand how sample test can be done and how we select

different sampling style.

Prior Reading RSB Ch.21 Pg.619-625.


Additional Practice SCG Pg17.1-17.23, CRK Ch.5

7th objective will be covered after completing this session.

Session 34 Topic: Hypotheses- Null – hypothesis & Alternative hypothesis Implemented

Objective To understand the concept of Null – hypothesis & Alternative

hypothesis and also types of error in sampling.



Additional Practice SCG Pg 16.26-16.34 CRK Ch.5 DPA Pg.315-346

Session 35,36 Topic: Chi-square test of goodness of fit Implemented

Objective To understand the Chi- Square and its problems

Prior Reading RSB Ch.20, 21 Pg. 608-611 and 662


Additional Practice SCG Pg18.1-18.27, CRK Ch.6, DPA Pg.450

Session 37 Topic: t – test for difference of Means Implemented

Objective To understand the t – test and its uses for difference of Means



Additional Practice SCG Pg19.1-19.26, CRK Ch.5, DPA Pg.416

Session 38 Topic: Presentations Implemented

Objective Presentation for the 5th unit. Each group will have 8 students

each.3 group will give presentation on Factoring and Bill, other 3

will on Banking and Insurance and other 2 will be on Bill

Discounting (topic will be decided by the lottery)

Prior Reading


Additional Practice

8th and 9th Objective will be achieved after this session and all objective will be covered after the lecture.

Session 39 Doubt Clearing Session Implemented

Objective For the Unit 1,2

Prior Reading


Additional Practice


Objective For the Unit 3,4

Prior Reading


Additional Practice


Objective For the Unit 5

Prior Reading


Additional Practice

Surprise Tests

Two sessions have been earmarked for surprise tests, the scores of which will go towards the overall internal marking.

Students are advised to prepare on a day-to-day basis, as no notice will be given for these tests.

Strategy Analysis

In the semester, four-group presentations will be happened.

Assignments

The assignment submission dates will be 14th, 19th, 22nd, 24th, and 26th Nov 09 Students would come to know about the

two assignments in advance.

Delayed submissions will not be accepted and students failing to submit assignment in time will not qualify to get allocated

marks in the internals assessment.

WISH YOU ALL THE BEST